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CDCSI: a machine learning-based interpretable cell death and cellular senescence index for prognosis improvement, immune landscape characterization, and therapeutic response prediction in head and neck squamous cell carcinoma.

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Title: CDCSI: a machine learning-based interpretable cell death and cellular senescence index for prognosis improvement, immune landscape characterization, and therapeutic response prediction in head and neck squamous cell carcinoma.
Authors: Luo X; Department of Otolaryngology Head and Neck Surgery, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China., He X; Department of Otolaryngology Head and Neck Surgery, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Source: Frontiers in immunology [Front Immunol] 2026 May 22; Vol. 17, pp. 1848488. Date of Electronic Publication: 2026 May 22 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Luo+X%22">Luo X</searchLink>; Department of Otolaryngology Head and Neck Surgery, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.<br /><searchLink fieldCode="AU" term="%22He+X%22">He X</searchLink>; Department of Otolaryngology Head and Neck Surgery, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan, China.
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  Data: <searchLink fieldCode="JN" term="%22101560960%22">Frontiers in immunology</searchLink> [Front Immunol] 2026 May 22; Vol. 17, pp. 1848488. <i>Date of Electronic Publication: </i>2026 May 22 (<i>Print Publication: </i>2026).
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        Value: 10.3389/fimmu.2026.1848488
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      – TitleFull: CDCSI: a machine learning-based interpretable cell death and cellular senescence index for prognosis improvement, immune landscape characterization, and therapeutic response prediction in head and neck squamous cell carcinoma.
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              Text: 2026 May 22
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